import polars as plimport seaborn.objects as sopokemon_url ='https://raw.githubusercontent.com/rfordatascience/tidytuesday/main/data/2025/2025-04-01/pokemon_df.csv'pokemon_df = pl.read_csv(pokemon_url, null_values = ['NA'])# Which primary type is most common?(pokemon_df .group_by(pl.col(['type_1'])) .agg(n = pl.len()) .sort(pl.col('n'), descending =True))# What's the relationship between attack, hp, and primary type?(so.Plot(pokemon_df, x ='attack', y ='hp') .add(so.Dot(pointsize =5, alpha =0.50)) .add(so.Line(), so.PolyFit(order =1)))(so.Plot(pokemon_df, x ='attack', y ='hp') .add(so.Dot(pointsize =5, alpha =0.50)) .add(so.Line(), so.PolyFit(order =1)) .facet(col ='type_1', wrap =3))